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International Journal of Research in Geography (IJRG)
Volume 3, Issue 3, 2017, PP 1-15
ISSN 2454-8685 (Online)
http://dx.doi.org/10.20431/2454-8685.0303001
www.arcjournals.org
International Journal of Research in Geography (IJRG) Page | 1
Socio - Economic Profile and Social Well being of Handloom
Industry Weavers of Gangarampur Block in Dakshin Dinajpur
District of West Bengal, India
1Avijit Roy,
2Dr. Pradip Chouhan
1Research Scholar, Department of Geography, University of Gour Banga, Malda,West Bengal, India,
2Associate Professor, Department of Geography, University of Gour Banga, Malda,West Bengal,
India
Abstract: The Handloom industry being a part of the Indian culture and tradition, it is one of the oldest cottage industries in India diffused widely through the country. Handloom Industry of Gangarampur of West
Bengal enjoys a prominent place in the handloom map of rural India. This study is aimed to address these
reasons by investigating the present socio-economic conditions and spatial pattern of variation in social well-
being (by using two indicators of development like Household Quality of Living Index and Standard of Living
Index) and problems of the handloom industry that are affecting badly (by using Principal Component
Analysis). It is found that the industry is dominated by the male workers with very low level of educational level.
The weavers are facing a number of challenges like financial constraint, inability to purchase up-to-date
machineries, poor working condition, drop off in wages, increased price of yarn, the absence of government
support, lack of domestic market and demand and so on. Schemes are not executed properly and all of the
money and the facilities not reached to the grass root people. So that planning execution is essential by which
local people could get those facilities properly.
Keywords: Handloom weavers, Level of Income, Educational Attainment, Family Size, HQLI and SLI.
Abbreviations: AI: Asset index, BAI: Basic amenity index, DI: Dimension index, HQLI: Household Quality of
Living Index, HH S: Household size, MFI: Monthly family income, MGBBY: Mahatma Gandhi Bunkar Bima
Yojana, PCA: Principal Component Analysis, QHI: Quality of housing index, SE: Standard of education, SH:
Standard of health, SLI: Standard of Living Index, SPSS: Statistical Package for Social Sciences, SSS: Social
security scheme
1. INTRODUCTION
Handloom industry in India is an ancient cottage industry (Venkateswaran, 2014; Sreenivas & Suman,
2016). The handloom industry is largely household-based industry and carried out with labour
contributed by the entire family. The handloom sector which plays central role in the country‟s
economy (Prathap & Naidu, 2015). It is second largest employer after agriculture sector in Indian
economy (Venkateswaran, 2014; Das, 2015; Prathap & Naidu, 2015 & Chaudhary, et al., 2015). It is
dispersed, spread across thousands of villages and towns in the country. About 10 million people
directly depend on this industry to take out their livelihood, while many more millions of people
depend upon subsidiary occupations connected with the handloom industry (Emmanil, 2012 &
Bortamuly, et al., 2012). The lower adoption of technology forced the industry to confide heavily on
human labours to carry out works either at home, the typical cottage industry, or at small and medium
size enterprises (Bhavani, 2002). Among the various handloom industries the name of Gangarampur
Handloom Industry of Dakshin Dinajpur district of West Bengal is one of most renowned one. The
place has lent its name to the Tant (handloom) saree it produces. It is mainly famous for its cotton
weaved sari. The saree are particularly liked for their slightly thicker weave and colourful borders
which housewives find very comfortable to wear while doing domestic chores and at the time of
occasions. Tant Benaroshi is the famous sari which is produce in Gangarampur handloom cluster. But
recently it has been losing its importance due to various reasons and where as the weavers are facing
the usual problems of low output, technological stagnation and subsistence level of income etc.
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Avijit Roy & Dr. Pradip Chouhan
International Journal of Research in Geography (IJRG) Page | 2
1.1. Objectives
The objectives of this study are:
To analyze socio-economic condition of weavers.
To find out Standard of Living (SL) and Household Quality of Living (HQL) of weavers.
To find out the problems associated with handloom industries.
1.2. Data Base & Methodology
Only primary data have been used in this study. Primary data of 290 weavers‟ perception have been
collected from160 household from seventeen major handloom concentrated mouzas and one
municipality in Gangarampur block through structured interview schedule. The study has been done
by purposive sampling technique. To represent the data some simple cartographic technique like bar
diagram, pie diagram and scatter diagram etc. has been used. Map has been created by using GIS
software to showing the distribution. Data analysis is done with support of statistical software‟s such
as Statistical Package for Social Sciences (SPSS). HQLI and SLI are calculated by using dimension
index and Simple Average Method (SAM). Dimension index of different indicators of HQLI and SLI
are calculated by the following formula
Dimension Index (DI) = Actual value −Minimum value
Maximum value −Minimum value
At the present time, handloom industry is facing numerous problems. To find out the major problems
that are affecting declining production Principal Component Analysis (PCA) has been used. This
analysis has been prepared by 150 weaver‟s perception through a questionnaire based on Bland
theory of research method. Each question was a statement followed by a five-point Likert scale.
Kaiser-Meyer-Olkin (KMO) and Bartlett's test has been used to measure sample accuracy level.
1.3. Area of Study
This study was confined to handloom weavers‟ concentred mouzas and municipal area of
Gangarampur block in Dakshin Dinajpur district of West Bengal in India. Gangarampur community
development block is located at 25°20 ʹ N to 25°32ʹ and 88°24ʹ30ʹʹ E to88°40ʹ E with an area of
315.60 km2. This region is located in Tropical wet-and-dry climate, with summer monsoons and
average rain fall of. The maximum temperatures can often exceed 38 °C (100 °F) during May–June.
Winter tends to last from December to early-February, with the lowest temperatures hovering in the 4
°C (40 °F) to 8 °C (47 °F) range during December and January (Weather base, 2014).
2. RESULTS AND DISCUSSION
2.1. Socioeconomic Status
Handloom is the oldest cottage industry in India, which is unorganized in nature. In India, nearly
27.83 lakh handloom households are engaged in weaving and allied activities, out of which 87 per
cent are located in rural areas and remaining 13 per cent in urban areas (Handloom Census of India,
2009-10). In West Bengal in particular, a large number of rural populations are directly involved in
weaving. Handloom weavers belong to a very low socioeconomic group compared to others in terms
of education, health training and skill etc. On the other hand, variables like sex and family size are
assumed to have negligible influence on a weaver while taking decision to shift towards the
occupation of ownership and others business.
Table1. Age-Wise Distribution of Handloom Workers
Age group Percentage of distribution
Rural Urban Total
Below 18 years 15.34 14.03 14.82
18-40 years 32.95 29.82 31.73
40-60 years 41.48 44.74 42.75
Above 60 years 10.23 11.40 10.69
Total 100 100 100
Source: Based on Primary household survey, 2016
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Socio- Economic Profile and Social Well being of Handloom Industry Weavers of Gangarampur Block in
Dakshin Dinajpur District of West Bengal, India
International Journal of Research in Geography (IJRG) Page | 3
Figure1. Distribution of handloom workers by age group
The table 1 and diagram (figure 1) shows that most of the weavers are belong in 40-60 years age
groups with 42.75 percent. The middle age group (18-40 years) handloom worker is only 31.73 % that is low proportion in compare to 40-60 years age group. Because most of the middle age group
workers are migrated for better job opportunity. A vast proportion of child labour engaged in
handloom activities near about 15 percent.
Table2. Sex-Wise distributions of Adult handloom workers
Gender Percentage of distribution
Rural Urban Total
Male 45.64 64.30 53.04
Female 54.40 35.71 46.96
Total 100 100 100
Source: Based on Primary household survey, 2016
Figure2. Adult handloom workers (18 and above) by Gender
Table 2 and diagram (figure 2) revealed that there is gender in rural and urban areas. The rural-urban differences, with higher proportion of female workers found in rural areas (45.64% male and 54.40%
female) and comparatively a higher proportion of male workers is observed in urban areas (64.30%
male and 35.71% female). The gender gaps in rural and urban areas are 8.76% and 28.6%
respectively.
2.1.1. Educational Level of Weaver
Most of the adult handloom workers have very low levels of educational attainment, and a large
proportion of this group reported that they never attended school.
Figure3. Distribution of handloom workers by level of Education
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Avijit Roy & Dr. Pradip Chouhan
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A distribution of handloom adult workers by their level of educational attainment reveals (figure 3)
that: about 29.4 per cent of workers engaged in handloom activities have never attended school. However, 22 percent workers have completed at least upper primary education and only 4 percent
workers have completed higher secondary education. So that‟s why we can say that the level of
education is very poor that affect their socio-cultural life of weavers.
2.1.2. Income Level of Weaver
Income plays an important role in ascertaining the standard of living of the people (Prathap & Naidu,
2015) which comes from selling handloom products and other sources such as land, property, investment and the like. They perform multi-occupation especially as the agricultural labour in the
rural areas. During the lean agricultural season, males are engaged in handloom activities on part-time
basis to increase their non-farm earnings (De & Das, 2010). In this study the concept of income
consists of income from marketing of handloom products.
Table3. Distribution of Income level of Weavers
Monthly income (Rs.) Rural area (%) Urban area (%)
Below 2000 42.24 27.34
2000-4000 27.7 25.61
4000-6000 21.22 31.17
Above 6000 8.84 15.88
Source: Based on Primary household survey, 2016
Since the weavers are working under this co-operative a fixed income level structure is found. In rural
and urban area, weavers enjoy wages b below Rs. 2000 under Gangarampur block near about 42% and 27% weavers respectively. While only about 8.84% weavers in rural and 15.88% in urban
weavers have income above Rs 6000 which signifies overall poor standard of living of the weaving
community as well as sluggish growth of this industry.
2.1.3. Schemes for Weavers
The Mahatma Gandhi Bunkar Bima Yojana (MGBBY) was launched in 2004-05 and provides life
insurance to the weavers is another popular scheme (Prathap & Naidu, 2015). The following schemes
are given below
Table4. Distribution of Schemes for benefited weavers
Name of the schemes for the weavers Percentage of benefitted weavers to total weavers
Old Age Pension for the retired weavers 07
Health Insurance Scheme (ICICI Loombard) 39
M.G.B.B.Y 44
Weavers‟ Credit Card 58
Source: Based on Primary household survey, 2016
The Mahatma Gandhi Bunkar Bima Yojana (MGBBY) was launched in 2004-05 and provides life
insurance to the weavers is another popular scheme (Prathap & Naidu, 2015). From the Table 5 it is
found that under a number of schemes have been undertaken for the weavers. 58% of weavers have been covered under Weaver Credit Card, 44% under M.G.B.B.Y, 39% under health insurance scheme
(ICICI Loombard) and 07% under Old age pension for the retired weavers.
2.1.4. Family Size
Nature of the family is one of the most important demographic indicators of the change in population
of any region. It determines the standard of living of the people as well as better living (Prathap &
Naidu, 2015). Family size and system are important characteristics that contributed to the family
income (Yousuf, et al., 2013). If a family which has too many members with less amount of income, surely the family will have to face poverty. So, the family size must be small enough for the batter
living of its members.
Table5. The size of the family of Handloom Weavers
Family Size(persons) No. of household percentage
Small family (Below 4) 21 13.125
Medium family (4-6) 62 38.75
Large family (Above 6) 77 48.125
Total 160 100
Source: Based on Primary household survey, 2016
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Socio- Economic Profile and Social Well being of Handloom Industry Weavers of Gangarampur Block in
Dakshin Dinajpur District of West Bengal, India
International Journal of Research in Geography (IJRG) Page | 5
According to the size of the family 38.75 percent weavers reported that they have medium size of
family with 4-6 members. 13 percent respondents have reported that their family has below 4
members. Most of the families belong above 6 members near about 48 percent. This shows that, most
of the handloom weavers are willing to live in a joint family system.
2.2. Social Well Being
2.2.1. Household Quality of Living Index (HQLI) of Weavers
To assess the household quality of living only for study areas, a Household Quality of living Index
(HQLI) is constructed on the basis of 20 variables. HQLI is made up of three distinctive indices such
as quality of housing index (QHI), basic amenity index (BAI) and asset index (AI). The selected 20 variables fall under these three indices. The variable details are given below-
Table6. List of selected indicators of HQLI
HO
US
EH
OL
D Q
UA
LIT
Y O
F L
IVIN
G I
ND
EX
(H
QL
I) Quality of Housing Index (QHI)
HHs by good condition of residential census houses
HHs living in permanent houses
Married couples do not have exclusive room
HHs with own houses
HHs having at least two dwelling rooms
Basic Amenity Index (BAI)
Drinking water with in premises
Electricity
Latrine within premises
Bath room
Closed drainage system for waste water outlet
Separate kitchen inside the house
LPG/PNG for cooking
Banking service
Asset Index (AI)
Radio/Transistor
Television
Telephone facilities (mobile, landline or both)
Bicycle
Scooter/Motorcycle/Moped
Computer/Laptop (with or without internet)
Here, HHs refers to only non-institutional HHs. All variables are measured in percentage and all are linearly related to each other except „married couples do not have exclusive room to live‟ under QHI. For the study purpose, it has been inversed to make the variable unidirectional. Household Quality of
Living Index is computed on the basis of the following formula:
HQLI= QHI + BAI + AI
Table7. Household Quality of Living Index (HQLI) of weavers in Gangarampur block
Study Area QHI BAI AI HQLI Study Area QHI BAI AI HQLI
Gangarampur municipality 0.47 0.60 0.83 1.90 Durgapur 0.47 0.35 0.38 1.20
Maharajpur 0.64 0.68 0.47 1.80 Boaldah 0.31 0.39 0.46 1.16
kadighat 0.46 0.51 0.66 1.63 Belbari 0.40 0.35 0.36 1.11
Thengapara 0.38 0.52 0.72 1.62 Burinagar 0.40 0.33 0.29 1.01
Nandanpur 0.69 0.31 0.50 1.50 Keshabpur 0.48 0.21 0.29 0.99
Bhaktipur 0.56 0.27 0.60 1.43 Narayanpur 0.44 0.23 0.28 0.96
Jalalpur 0.51 0.38 0.52 1.41 Paton 0.33 0.31 0.29 0.94
Karial 0.46 0.39 0.47 1.31 Tilna 0.21 0.26 0.31 0.78
Jaypur 0.51 0.40 0.35 1.26 Sukhdevpur 0.17 0.22 0.14 0.53
Source: Based on Author’s calculation with the help of household survey data, 2016
Following the above mentioned methods three sets of indices are generated (Table 6). HQLI is the
combined score of the three indices. For better analysis seventeen mouzas and one urban centre are
divided into three (3) categories on the basis of “HQLI”. Like-1. High Quality (>1.5), 2. Moderate
Quality (1-1.5), 3. Low Quality (
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Avijit Roy & Dr. Pradip Chouhan
International Journal of Research in Geography (IJRG) Page | 6
Overall, one urban centre, namely, Gangarampur Municipality (1.90) and four mouzas, namely,
Maharajpur, Kadighat, Thengapara and Nandanpur (1.80, 1.63, 1.62, 1.50 respectively) have a good
condition of household quality of living. Household quality mostly depend on family income and
individual aspects, though in these study area the weavers‟ income more or less same, but the few
areas which are belongs in quite high quality of household infrastructures. They not only depend on
income that comes from selling handloom products, parallel they should engage in agricultural
activities or others sources. The rest of Sukhdevpur (0.53), Tilna (0.78), Paton (0.94), Narayanpur
(.96), and Keshabpur (0.99) have a low HQLI where the conditions of these villages are pathetic.
Figure4. Household Quality of Living Index of Weavers in Gangarampur Block
This diagram (Fig. 4) shows that in Gangarampur block mouza wise distribution of different indices are not equally distributed. In Korial, Belbari and Paton mouza there is a consistency of QHI, BAI &
AI. But in case of Nandanpur, Keshabpur, Narayanpur mouza QHI is high compare to BAI and AI.
Figure5. Different indicators of Household Quality of Living Index
2.2.2. Standard of Living of Weavers
Standard of living‟ refers to the necessaries, comforts and luxuries which a person is accustomed to
enjoy. In other words, standard of living of the people means the quantity and quality of their
consumption (Das & Mistri, 2016). If a person indulges some wants in a special manner long enough,
they recur and become acquired habits. Such things become his daily requirements and constitute
what has been called his standard of living. They include his food, dress, habitation, entertainments,
etc; as well as basic needs of a person. Standard of living is, in short, his mode of living (Das &
Mistri, 2016). The standard of living of a person is not identified only by himself or according to his
own fantasy and volitions. He has also to consider what society expects of him. It is thus a
compromise between what he himself likes and what the society expects.
The construction of SL indices and measuring the degree of deficiency or “deprivation” (Das &
Mistri, 2016) for each weaver concentred village in these domains requires a suitable methodology.
This topic prepared on Simple Average Method (SAM) for measuring Standard of Living (SL). SLI is
made up of five distinctive indices such as quantity of household size (HH S), standard of education
(SE), standard of health (SH), social security scheme (SSS) and monthly family income (MFI).
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Socio- Economic Profile and Social Well being of Handloom Industry Weavers of Gangarampur Block in
Dakshin Dinajpur District of West Bengal, India
International Journal of Research in Geography (IJRG) Page | 7
Table8. List of selected indicators of Standard of Living
Standard of Health (SH)
Availability of Bathroom (% of population with access)
Improved Water source (% of population with access)
Standard of Education (SE)
Net primary enrolment (%)
Reverse of Drop out Student (1/% of Drop out)
Standard of Living
Social Security Scheme (SSS)
Availability of BPL card (% of weaver)
Availability of Weavers Credit Card (% of weaver)
Availability of Health Card ICICI Loombard (% of weaver)
Availability of M.G.B.B.Y for old age pension (% of weaver)
Availability of Bank account (% of weaver)
Household Size (HHS)
Number of members of a family Income
Monthly family income
At first indices have been calculated for every indicator with the normalized score then score are
merged and divided them with number of indicators giving the equal weight age of every indicators of
that domain. After calculating the indices of a domain they all are merged and divided with the
number of domain for getting the Standard of Living Index (SLI).
Table9. Standard of Living Index of Handloom Weavers
Study Area HH S SH SE SSS MFI SLI
a b c d e (a+b+c+d+e)/5
Narayanpur 0.65 0.41 0.5 0.39 0.48 0.49
Shukdebpur 0.22 0.81 0.68 0.33 0.52 0.51
Jalalpur 0.33 0.75 0.62 0.51 0.53 0.55
Boaldaha 0.65 0.49 0.48 0.45 0.51 0.52
Maharajpur 0.82 0.53 0.27 0.66 0.56 0.57
Thengapara 0.49 0.64 0.51 0.75 0.61 0.60
Karial 0.56 0.62 0.46 0.64 0.58 0.57
Nandanpur 0.13 0.94 0.86 0.19 0.53 0.53
Jaypur 0.19 0.81 0.71 0.35 0.52 0.52
Belbari 0.33 0.74 0.63 0.44 0.54 0.54
Keshabpur 0.81 0.31 0.31 0.14 0.36 0.39
Paton 0.27 0.79 0.64 0.42 0.51 0.53
Tilna 0.37 0.75 0.59 0.47 0.56 0.55
Burinagar 0.62 0.51 0.42 0.35 0.43 0.47
Bhaktipur 0.56 0.59 0.46 0.45 0.51 0.51
Durgapur 0.54 0.58 0.48 0.79 0.6 0.60
Kadighat 0.89 0.34 0.32 0.59 0.51 0.53
Gangarampur Municipality 0.12 0.98 0.98 0.79 0.74 0.72
Source. Based on Author’s calculation with the help of household survey data, 2016
From the above table 10, we can understand that most of the villages has low stanadrd of living below
0.6 e.g Keshabpur, Narayanpur, Jay pur, Burinagar, Sukhdebpur. Beyond these Gangarampur,
Maharajpur, Thengapara has quite high standard of living. Gangarampur occupied higher level of
Standard of living the reason is that it is a municipality area and peoples are more concious about
various types of government schemes, facilities and so on. Inspite gangarampur municipality;
Maharajpur and Thengapara has been achievd high level of standard of living beacouse these mouszas
are adjacent to urban couterparts and those peoples are always try to gain urban life style. On the
other hand the villages which belongs low level of Standard of living, these villages are far away from
the block headquarter. So, they could not aware about different government facilities and that affect
their livelihood badly.
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Avijit Roy & Dr. Pradip Chouhan
International Journal of Research in Geography (IJRG) Page | 8
2.3. Relation of HQLI, SE and SH with Household Size
Household size or family size is one of the major factors that affect any society for their livelihood. Large household sizes always adversely affect quality of life and standard of living of a family. Here,
we can find out the relation of HQLI, SE and SH with family size.
The effect of family size on individual members of family is also equally more important.
The numbers of children are less. Therefore, parents are able to pay more attention to them and their needs. Modern parents are comparatively more careful about their children regarding what
they eat, what they wear, where they play and when they sleep, etc.
The parents are more conscious of their children's health. Not only have they cared seriously about various preventive vaccines, but also their general health, weight, height etc.
The education, particularly the higher education is very expensive and middle class parents can hardly afford it for their children. A good education is essential to assure a bright future of their children. It is possible only when the family size is small.
Figure6. Relation between Household Size and HQLI of weavers in Gangarampur block
Figure7. Relation between Household size and Standard of Education of weavers in Gangarampur block
Figure8. Relation between Household Size and Standard of Health of weavers in Gangarampur Block
3. PROBLEMS ASSOCIATED HANDLOOM INDUSTRY
Today, in the country, handloom production is the second largest employment-generating activity
after agriculture and it contributes nearly 14% share of the total production of textile industry. But at
the present time, this industry is facing multifarious problems that some other industries did not face
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Socio- Economic Profile and Social Well being of Handloom Industry Weavers of Gangarampur Block in
Dakshin Dinajpur District of West Bengal, India
International Journal of Research in Geography (IJRG) Page | 9
(Chaudhary, et al., 2015). The sector is beset with various problems, such as obsolete technology, haphazard production system, low productivity, inadequate working capital, conventional product
range, weak marketing links, overall stagnation of production and sales and above all, competition
from power looms and mill sector. Here we can attemped statistical method Principal Component Analysis (PCA) to find out the problems that‟s adversly affect handloom industry.
4. HYPOTHESES DEVELOPMENT
H1: The declining productivity of handloom industry is caused by contemporaneous abuzz of
internal and external factors
H1.1: Weaver‟s have lack of skill.
H1.2: Low level of wages.
H1.3: Low demand of handloom cloths.
H1.4: Traditional production & lack of diversification.
H1.5: Lack of modernisation of loom.
H1.6: Misuse brand name.
H1.7: High price of raw materials.
H1.8: Weavers don‟t get quality raw material.
H1.9: Weaver's faces scarcity of working capital.
H1.10: Power loom as a competitor.
H1.11: Government supports are not effective.
H1.12: Shifting 100 days work.
H1.13: Government supports are not sufficient.
H1.14: The industry faces competition with other products in market.
H1.15: Primitive technology.
H1.16: Political pollution.
4.1. Empirical findings
Here, we have used Factor Analysis to analyze hypotheses ranging from 1.1 to 1.16 under H1
Table10. KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .716
Bartlett's Test of Sphericity Approx. Chi-Square 1100.113
Df 120
Sig. .000
From the above table 11, it is clear that our factor analysis is appropriate as KMO test result is greater
than .50 and it is valid as Bartlett’s test indicates .000 probability (.000) which is less than significant
level (.05).
Table11. Total Variance Explained
Co
mp
one
nt
Initial Eigen values Extraction Sums of Squared
Loadings
Rotation Sums of Squared
Loadings
Total % of
Variance
Cumulative
%
Total % of
Variance
Cumulativ
e %
Total % of
Variance
Cumulativ
e %
1 4.851 30.320 30.320 4.851 30.320 30.320 3.610 22.564 22.564
2 2.470 15.439 45.758 2.470 15.439 45.758 2.899 18.116 40.680
3 1.575 9.844 55.602 1.575 9.844 55.602 1.853 11.580 52.260
4 1.307 8.172 63.774 1.307 8.172 63.774 1.443 9.021 61.281
5 1.039 6.491 70.265 1.039 6.491 70.265 1.437 8.983 70.265
From the above table 12, 5 factors have been extracted as cumulative frequency is greater than 70% that indicates the adequacy of the analysis through the derived factors.
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Avijit Roy & Dr. Pradip Chouhan
International Journal of Research in Geography (IJRG) Page | 10
Table12. Component Matrixa
Component
1 2 3 4 5
Weaver‟s have lack of skill .604 -.322 .339 .068 -.079
Low level of wages .198 .693 -.389 -.143 .105
Low demand of handloom cloths -.469 .250 -.168 -.037 -.704
Traditional production & lack of
diversification
-.661 .384 -.083 -.218 .311
Lack of modernisation of loom -.870 .230 .103 -.055 .106
Primitive technology -.639 .313 -.202 -.178 -.073
High price of raw materials .342 .656 .223 -.096 -.256
Weavers don‟t get quality raw material .533 .625 -.143 -.001 .106
Weaver's faces scarcity of working
capital
-.005 .527 .629 -.076 .227
Power loom as a competitor .845 .155 .157 -.053 .126
Government supports are not effective .541 .408 .209 -.260 -.260
Shifting 100 days work .250 .338 .052 .719 -.110
Government support are not sufficient -.186 .292 -.410 .661 .059
The industry faces competition with
other products in market
.496 .006 -.477 -.143 .666
Misuse brand name .768 -.014 -.160 .111 -.011
Political pollution -.532 .189 .513 .355 .227
Extraction Method: Principal Component Analysis
a. 5 components extracted
5factors has been extracted from the component matrix on the basis of factor loading to encounter our
first hypothesis (H1) that is the declining productivity of handloom industry is caused by
contemporaneous abuzz of internal and external forces.
4.2. Extracted Factors Under H1:
Power loom as a competitor.
Low level of wages and high price of raw materials.
Weaver‟s faces scarcity of working capital.
Shifting 100 days work.
The industry faces competition with other products in market.
4.3. Analysis of factors under H1 and other core hypotheses through T-Test
Factor 1: Power loom as a competitor
The hypothesis is accepted, as probability (.000) is less than the significant level (.05). So, we can
conclude that the power loom is the factor to burden handloom industry (Table: T1)
One-Sample Test
Test Value = 3
t df Sig. (2-tailed)
Mean
Difference
95% Confidence Interval of
the Difference
Lower Upper
Power loom as a
competitor
12.422 149 .000 1.04667 .8802 1.2132
Factor 2: Low level of wages
The hypothesis is accepted, as probability (.000) is less than the significant level (.05). So, we can
conclude that the low level of wages of weavers affects handloom industry (Table: T2).
One-Sample Test
Test Value = 3
t df Sig. (2-tailed)
Mean
Difference
95% Confidence Interval of the
Difference
Lower Upper
Low level of wages 5.736 149 .000 .61333 .4020 .8246
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Socio- Economic Profile and Social Well being of Handloom Industry Weavers of Gangarampur Block in
Dakshin Dinajpur District of West Bengal, India
International Journal of Research in Geography (IJRG) Page | 11
Factor 3: Weaver’s faces scarcity of working capital
The hypothesis is accepted, as probability (.000) is less than the significant level (.05). So, we can
conclude that the weavers face scarcity of working capital (Table: T3).
One-Sample Test
Test Value = 3
t df Sig.
(2tailed)
Mean Difference 95% Confidence Interval of the
Difference
Lower Upper
Weaver's faces
scarcity of
working capital
4.882 149 .000 .42667 .2540 .5994
Factor 4: Shifting 100 days work
The hypothesis is accepted, as probability (.021) is less than the significant level (.05). So, we can
conclude that the weavers shifted 100 days work (Table: T4).
One-Sample Test
Test Value = 3
t df Sig. (2-tailed)
Mean
Difference
95% Confidence Interval of
the Difference
Lower Upper
Shifting 100 days work -2.334 149 .021 -.19333 -.3570 -.0296
Factor 5: The industry faces competition with other products in market
The hypothesis is accepted, as probability (.000) is less than the significant level (.05). So, we can
conclude that the industry faces competition with other products in market which is badly affects the
industry (Table: T5).
One-Sample Test
Test Value = 3
t df Sig. (2-tailed)
Mean
Difference
95% Confidence Interval of
the Difference
Lower Upper
The industry faces competition
with other products in market
28.470 149 .000 1.49333 1.3897 1.5970
We have extracted five factors from the Factor Analysis. Although, with these factors, there are also
some significant factors that are also important to find out the reasons for which the handloom
industry of the study area is now on the way of extinction. So, in the following, we will analyze these
factors.
H2: Weaver‟s have lack of skill
H3: Low demand of handloom cloths
H4: Traditional production & lack of diversification
H5: Lack of modernisation of loom
H6: Primitive technology
H7: High price of raw materials
H8: Weavers don‟t get quality raw material
H9: Government supports are not sufficient and effective
H11: Misuse brand name
H12: Political pollution
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Avijit Roy & Dr. Pradip Chouhan
International Journal of Research in Geography (IJRG) Page | 12
4.4. Testing of Other Core Hypotheses
H2: Weaver’s have Lack of Skill
The hypothesis is accepted, as probability (.000) is less than the significant level (.05). So, we can
conclude that the weavers have skill deficiency (Table: T6).
One-Sample Test
Test Value = 3
t df Sig. (2tailed)
Mean
Difference
95% Confidence Interval of
the Difference
Lower Upper
Weaver‟s have lack of
skill
25.924 149 .000 1.44000 1.3302 1.5498
H3: Low Demand of Handloom Cloths
The hypothesis is accepted, as probability (.000) is less than the significant level (.05). So, we can conclude that the low demand of handloom cloth is one of the major causes to declining production
(Table: T7).
One-Sample Test
Test Value = 3
t df Sig. (2tailed)
Mean
Difference
95% Confidence Interval of
the Difference
Lower Upper
Low demand of handloom
cloths
-12.209 149 .000 -1.01333 -1.1773 -.8493
H4: Traditional Production & Lack of Diversification
The hypothesis is accepted, as probability (.000) is less than the significant level (.05). So, we can
conclude that the traditional production and lack of diversification of badly affect this industry (Table:
T 8).
One-Sample Test
Test Value = 3
t df Sig. (2tailed)
Mean
Difference
95% Confidence Interval of
the Difference
Lower Upper
Traditional production &
lack of diversification
-3.923 149 .000 -.33333 -.5012 -.1654
H5: Lack of modernisation of loom
The hypothesis is accepted, as probability (.038) is less than the significant level (.05). So, we can
conclude that the lack modernization of loom causes of declining handloom production (Table: T9).
One-Sample Test
Test Value = 3
t df Sig. (2tailed)
Mean
Difference
95% Confidence Interval of
the Difference
Lower Upper
Lack of modernisation of
loom
-2.098 149 .038 -.21333 -.4143 -.0124
H6: Primitive Technology
The hypothesis is not accepted, as probability (.666) is greater than the significant level (.05). So, we
cannot conclude that the weavers are not faces in this problem (Table: T10).
One-Sample Test
Test Value = 3
t df Sig. (2tailed)
Mean
Difference
95% Confidence Interval of the
Difference
Lower Upper
Primitive
technology
.432 149 .666 .03333 -.1190 .1857
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Socio- Economic Profile and Social Well being of Handloom Industry Weavers of Gangarampur Block in
Dakshin Dinajpur District of West Bengal, India
International Journal of Research in Geography (IJRG) Page | 13
H7: High Price of Raw Materials
The hypothesis is accepted, as probability (.000) is less than the significant level (.05). So, we can
conclude that the high price of raw materials affects declining production (Table: T11).
One-Sample Test
Test Value = 3
t df Sig. (2tailed)
Mean
Difference
95% Confidence Interval of
the Difference
Lower Upper
High price of raw materials
19.197 149 .000 1.17333 1.0526 1.2941
H8: Weavers don’t get Quality Raw Material
The hypothesis is accepted, as probability (.000) is less than the significant level (.05). So, we can
conclude that the weavers do not get quality raw materials at right time and right price (Table: T12).
One-Sample Test
Test Value = 3
t df Sig. (2tailed)
Mean
Difference
95% Confidence Interval of
the Difference
Lower Upper
Weavers don‟t get quality
raw material
7.081 149 .000 .64000 .4614 .8186
H9: Government Supports are not Sufficient and Effective
The hypothesis is accepted, as probability (.000) is less than the significant level (.05). So, we can
conclude that Government supports to handloom industry are not sufficient and effective (Table: T13 & T14).
One-Sample Test
Test Value = 3
t df Sig. (2tailed)
Mean
Difference
95% Confidence Interval of
the Difference
Lower Upper
Government supports are
not effective
33.614 149 .000 1.68667 1.5875 1.7858
One-Sample Test
Test Value = 3
t df Sig. (2tailed)
Mean
Difference
95% Confidence Interval of
the Difference
Lower Upper
Government supports are
not sufficient
-8.023 149 .000 -.60667 -.7561 -.4572
H11: Misuse Brand Name
The hypothesis is accepted, as probability (.000) is less than the significant level (.05). So, we can
conclude that the misuse brand name causes declining production in this industry (Table: T15).
One-Sample Test
Test Value = 3
t df Sig. (2tailed)
Mean
Difference
95% Confidence Interval of the
Difference
Lower Upper
Misuse brand name 5.090 149 .000 .53333 .3263 .7404
H12: Political Pollution
The hypothesis is accepted, as probability (.000) is less than the significant level (.05). So, we can
conclude that the political pollution affects handloom weavers as well as industry (Table: T16).
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Avijit Roy & Dr. Pradip Chouhan
International Journal of Research in Geography (IJRG) Page | 14
One-Sample Test
Test Value = 3
t df Sig. (2tailed)
Mean
Difference
95% Confidence Interval of the
Difference
Lower Upper
Political pollution -11.420 149 .000 -.92000 -1.0792 -.7608
5. MAJOR FINDINGS
Low income of the weavers is a major problem here as most of the weavers still using traditional method/machine which gives low output and only those who have the ability to buy the jacquard
loom have been benefitted but such percentage is very low.
Majority are male weavers, female are only engaged in spinning the thread. So, excessive workloads. But in rural areas majority are female workers the reason behind this most of the male worker migrated or shifted others better jobbed.
The adult handloom workers have very low levels of educational attainment. So they are not aware from various types of Govt. Schemes. As a result this affects their socio-cultural and economic life.
Household Quality of Living Index (HQLI) Standard of Living Index (SLI) of Handloom Weavers in rural area is very low compare to urban area due to different types of urban facility.
6. CONCLUSION
The handloom weaving style unique to this region is famously known as Tant Benarashi Saree. But
now a day‟s condition of handloom industry is very bad and fall under tragic situation. People, who
live here mostly, are very poor. Middle aged people are unable to sustain a living in this area due to the lack of availability of job resources hence are compelled to migrate to other states in search of
better jobs. Mostly old age people and females are engaged in weaving. Though once weaving was
their primary occupation, it failed to earn reasonable money for them, so now people are not wholly dependent on weaving and many of them have turned to agriculture for a better living. Government
inefficiencies are a major problem that the weavers face. Schemes are not executed properly and all of
the money and the facilities not reached to the grass root people. They are totally deprived. So that
planning execution is essential by which local people could get those facilities properly.
REFERENCES
[1] Bhagavatula, S., Elfring, T., Tilburg, A. and Van de Bunt, Gerhard G. (2010). How social and human capital influence opportunity recognition and resource mobilization in India's handloom
industry. Journal of Business Venturing, 25, 245–260. doi:10.1016/j.jbusvent.2008.10.006.
[2] Bhavani, T.A. (2002). Small-scale units in the era of globalization: problems and prospects. Economic and Political Weekly, 37 (29), 3041-3052.
[3] Bortamuly, A. B., Goswami, K. and Hazarika, B. (2012). Determinants of occupational choice of workers in the handloom industry in Assam. International Journal of Science and Engineering,
40 (12), 1041-1055. [4] Bortamuly, A.B and Goswami, K. (2012). Factors Influencing Wage Structure of Handloom
Workers in Assam. Journal of Rural Development, 31(1), 139-150.
[5] Chaudhary, M., Saini, A. and Solanki, R. (2015). Problems faced by handloom & powerloom industries in Uttar Pradesh. International Journal of Trade & commerce, 4 (1), 93-105.
[6] Cowan, R. S. (1976). The Industrial Revolutio in the home: Household technology and social change in the 20th century. Technology and culture, 17(1), 1-23.
[7] Das, B. and Mistri, A. (2016). Household quality of living index of Indian states: Analysis of 2011 census. Environment and Urbanization ASIA, 4 (1), 151-171.doi: 10.1177/ 0975 425
313477759.
[8] Das, C. (2015). Co-operative based economic development in Phulia. Journal of Humanities And Social Science, 20 (9), 133-139. doi: 10.9790/0837-2093133139.
[9] Das, C. (2015). Recent trends of work participation rate in Santipur handloom industry: Case study Bathabgachi village. Journal of Humanities and Social Science, 20(10), 80-86. doi:
10.9790/0837-201018086. [10] Das, C., Roy, M. and Mondal, P. (2016). Handloom cluster of India: A case study santipur
handloom cluster. International Journal of Humanities and Social Science Invention, 5 (1), 27-
35.
-
Socio- Economic Profile and Social Well being of Handloom Industry Weavers of Gangarampur Block in
Dakshin Dinajpur District of West Bengal, India
International Journal of Research in Geography (IJRG) Page | 15
[11] Das, S. (2015). Managing the weavers‟ crisis of dhanekhali handloom industry. International Journal of Engineering and Science, 4 (7), 60-68.
[12] Das, S.R. (2015). Socio-economic profile of handloom weaving community: a case study of Bargarh district, Odisha. Unpublished M.A. dissertation. Department of Humanities and Social Sciences, National Institute of Technology, Rourkela. India. 39 pp.
[13] De, U.K. and Das, M. (2010). Scope of sericulture in Assam: a micro-econometric analysis. Journal of Agricultural Extension and Rural Development, 2 (6), 106-115.
[14] Emmanil, R. (2012). A profile of handloom industry in India. Journal of Exclusive Management Science, 1 (7), 1-8.
[15] Ghosh, S.K. and Akter, S. (2005). Handloom industry on the way of extinction: An empirical study over the pre- dominant factors. BRAC University Journal, II (2), 1-12.
[16] Handloom census of India. (2010). Third national census of handloom weavers and issue of photo identity card to weavers and allied workers. National Council of Applied Economic
Research. [17] Niranjana, S. and Vinayan, S. (2001). Growth and prospects of the handloom industry for dastkar
Andhra. Study Commissioned by the Planning Commission.
[18] Prathap, G. and Naidu, M.C. (2015). Socio economic condition of the handloom weavers‟ vontimitta mandal in kadapa district of Andhra Pradesh. International Journal of Managerial
Studies and Research, 3 (1), 5-11.
[19] Singh, K. and Bansal, M. (2012). An analytical study of handloom industry in India. Radix International Journal of Research in Marketing, 1(12), 1-11.
[20] Sreenivas, A. and Suman, K. (2016). Socio economic conditions of handloom weavers- A study of Karimnagar district. International journal of Commerce, Business and Management, 5 (1),
177-188. [21] Venkateswaran, A. (2014). Socio economic conditions of handloom weaving in Kallidaikurichi
of Tiruneveli district. International Journal of Social Science and Humanities Research, 2 (2),
38-49.
[22] http://www.weatherbase.com/weather/weather.php3?s=596066&cityname=Balurghat-West-Bengal-India. Retrieved 24 June 2014.
[23] Yousuf, T., Khan, I., Yousuf, T. and Raja, T. (2013). Socio-economic profile of silk weavers: A micro-level study of Srinagar city. European Academic Research, I (3), 319-331.
AUTHORS’ BIOGRAPHY
Avijit Roy, P.hd Scholar, Department of Geography, University of Gour Banga,
Malda, West Bengal, 732103, India
Dr. Pradip Chouhan, Associate Professor, Department of Geography, University of
Gour Banga, Malda, West Bengal, 732103, India
Citation: Avijit, Roy, and Chouhan Pradip. "Socio - Economic Profile And Social Well Being Of Handloom Industry Weavers Of Gangarampur Block In Dakshin Dinajpur District Of West Bengal, India." International
Journal Of Research In Geography, vol 3, no. 3, 2017, pp. 1-15. doi:http://dx.doi.org/10.20431/2454-
8685.0303001.
Copyright: © 2017 Authors. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium,
provided the original author and source are credited.
http://www.weatherbase.com/weather/weather.php3?s=596066&cityname=Balurghat-West-Bengal-Indiahttp://www.weatherbase.com/weather/weather.php3?s=596066&cityname=Balurghat-West-Bengal-India